4 citations · 6 across the 2 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2023★ 4 cited
Optimization or Architecture: How to Hack Kalman Filtering
Ido Greenberg, Netanel Yannay, Shie Mannor
In non-linear filtering, it is traditional to compare non-linear architectures such as neural networks to the standard linear Kalman Filter (KF). We observe that this mixes the eva…
cs.LG2021★ 2 cited
The Fragility of Noise Estimation in Kalman Filter: Optimization Can Handle Model-Misspecification
Ido Greenberg, Shie Mannor, Netanel Yannay
The Kalman Filter (KF) parameters are traditionally determined by noise estimation, since under the KF assumptions, the state prediction errors are minimized when the parameters co…